Dataset statistics
| Number of variables | 28 |
|---|---|
| Number of observations | 7406 |
| Missing cells | 7405 |
| Missing cells (%) | 3.6% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 1.6 MiB |
| Average record size in memory | 224.0 B |
Variable types
| Categorical | 11 |
|---|---|
| DateTime | 1 |
| TimeSeries | 12 |
| Numeric | 4 |
State Code has constant value "4" | Constant |
County Code has constant value "19" | Constant |
Site Num has constant value "1028" | Constant |
Address has constant value "400 W RIVER ROAD" | Constant |
State has constant value "Arizona" | Constant |
County has constant value "Pima" | Constant |
City has constant value "Tucson" | Constant |
NO2 Units has constant value "Parts per billion" | Constant |
O3 Units has constant value "Parts per million" | Constant |
SO2 Units has constant value "Parts per billion" | Constant |
CO Units has constant value "Parts per million" | Constant |
SO2 1st Max Hour is highly correlated with SO2 1st Max Value | High correlation |
SO2 AQI is highly correlated with O3 1st Max Value and 2 other fields | High correlation |
CO 1st Max Value is highly correlated with NO2 AQI and 3 other fields | High correlation |
CO 1st Max Hour is highly correlated with NO2 1st Max Hour | High correlation |
State Code is highly correlated with Site Num and 9 other fields | High correlation |
County Code is highly correlated with State Code and 9 other fields | High correlation |
Site Num is highly correlated with State Code and 9 other fields | High correlation |
Address is highly correlated with State Code and 9 other fields | High correlation |
State is highly correlated with State Code and 9 other fields | High correlation |
County is highly correlated with State Code and 9 other fields | High correlation |
City is highly correlated with State Code and 9 other fields | High correlation |
NO2 Units is highly correlated with State Code and 9 other fields | High correlation |
O3 Units is highly correlated with State Code and 9 other fields | High correlation |
SO2 Units is highly correlated with State Code and 9 other fields | High correlation |
CO Units is highly correlated with State Code and 9 other fields | High correlation |
NO2 Mean is highly correlated with NO2 1st Max Value and 5 other fields | High correlation |
NO2 1st Max Value is highly correlated with NO2 Mean and 3 other fields | High correlation |
NO2 AQI is highly correlated with NO2 1st Max Hour and 6 other fields | High correlation |
O3 Mean is highly correlated with NO2 Mean and 4 other fields | High correlation |
O3 1st Max Value is highly correlated with NO2 1st Max Hour and 7 other fields | High correlation |
O3 AQI is highly correlated with NO2 1st Max Hour and 7 other fields | High correlation |
SO2 Mean is highly correlated with SO2 1st Max Value and 1 other fields | High correlation |
SO2 1st Max Value is highly correlated with NO2 AQI and 4 other fields | High correlation |
CO Mean is highly correlated with NO2 Mean and 3 other fields | High correlation |
CO AQI is highly correlated with NO2 1st Max Hour and 4 other fields | High correlation |
NO2 1st Max Hour is highly correlated with NO2 AQI and 5 other fields | High correlation |
O3 1st Max Hour is highly correlated with NO2 1st Max Hour and 3 other fields | High correlation |
SO2 AQI has 3702 (50.0%) missing values | Missing |
CO AQI has 3703 (50.0%) missing values | Missing |
NO2 Mean is non stationary | Non stationary |
NO2 1st Max Value is non stationary | Non stationary |
NO2 1st Max Hour is non stationary | Non stationary |
NO2 AQI is non stationary | Non stationary |
O3 Mean is non stationary | Non stationary |
O3 1st Max Value is non stationary | Non stationary |
O3 AQI is non stationary | Non stationary |
SO2 Mean is non stationary | Non stationary |
SO2 1st Max Value is non stationary | Non stationary |
CO Mean is non stationary | Non stationary |
CO AQI is non stationary | Non stationary |
NO2 Mean is seasonal | Seasonal |
NO2 1st Max Value is seasonal | Seasonal |
NO2 1st Max Hour is seasonal | Seasonal |
NO2 AQI is seasonal | Seasonal |
O3 Mean is seasonal | Seasonal |
O3 1st Max Value is seasonal | Seasonal |
O3 AQI is seasonal | Seasonal |
SO2 Mean is seasonal | Seasonal |
SO2 1st Max Value is seasonal | Seasonal |
CO Mean is seasonal | Seasonal |
CO AQI is seasonal | Seasonal |
NO2 1st Max Hour has 612 (8.3%) zeros | Zeros |
SO2 Mean has 290 (3.9%) zeros | Zeros |
SO2 1st Max Value has 298 (4.0%) zeros | Zeros |
SO2 1st Max Hour has 288 (3.9%) zeros | Zeros |
SO2 AQI has 2596 (35.1%) zeros | Zeros |
CO 1st Max Hour has 2491 (33.6%) zeros | Zeros |
Reproduction
| Analysis started | 2022-10-20 17:51:13.294934 |
|---|---|
| Analysis finished | 2022-10-20 17:51:24.781988 |
| Duration | 11.49 seconds |
| Software version | pandas-profiling v3.3.1 |
| Download configuration | config.json |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| 4 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 7406 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 4 |
|---|---|
| 2nd row | 4 |
| 3rd row | 4 |
| 4th row | 4 |
| 5th row | 4 |
Common Values
| Value | Count | Frequency (%) |
| 4 | 7406 |
Length
Date Local
Date
| Distinct | 1852 |
|---|---|
| Distinct (%) | 25.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Minimum | 2010-10-01 00:00:00 |
|---|---|
| Maximum | 2016-03-31 00:00:00 |
Histogram with fixed size bins (bins=50)
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per billion |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per billion |
|---|---|
| 2nd row | Parts per billion |
| 3rd row | Parts per billion |
| 4th row | Parts per billion |
| 5th row | Parts per billion |
Common Values
| Value | Count | Frequency (%) |
| Parts per billion | 7406 |
Length
Histogram with fixed size bins (bins=50)
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per billion |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per billion |
|---|---|
| 2nd row | Parts per billion |
| 3rd row | Parts per billion |
| 4th row | Parts per billion |
| 5th row | Parts per billion |
Common Values
| Value | Count | Frequency (%) |
| Parts per billion | 7406 |
Length
Histogram of lengths of the category
Category Frequency Plot
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| billion | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 1610 |
|---|---|
| Distinct (%) | 0.21739130434782608 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 11.371198702673508 |
|---|---|
| Minimum | 0.834783 |
| Maximum | 29.409524 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| billion | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 1610 |
|---|---|
| Distinct (%) | 0.21739130434782608 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 11.371198702673508 |
|---|---|
| Minimum | 0.834783 |
| Maximum | 29.409524 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0.834783 |
|---|---|
| 5-th percentile | 3.883333 |
| Q1 | 6.90104175 |
| median | 10.175 |
| Q3 | 15.31331525 |
| 95-th percentile | 21.8375 |
| Maximum | 29.409524 |
| Range | 28.574741 |
| Interquartile range (IQR) | 8.4122735 |
Descriptive statistics
| Standard deviation | 5.616530379 |
|---|---|
| Coefficient of variation (CV) | 0.4939259726 |
| Kurtosis | -0.46198764 |
| Mean | 11.3711987 |
| Median Absolute Deviation (MAD) | 3.820833 |
| Skewness | 0.5972068972 |
| Sum | 84215.09759 |
| Variance | 31.5454135 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.0001170396581 |
Quantile statistics
| Minimum | 0.834783 |
|---|---|
| 5-th percentile | 3.883333 |
| Q1 | 6.90104175 |
| median | 10.175 |
| Q3 | 15.31331525 |
| 95-th percentile | 21.8375 |
| Maximum | 29.409524 |
| Range | 28.574741 |
| Interquartile range (IQR) | 8.4122735 |
Descriptive statistics
| Standard deviation | 5.616530379 |
|---|---|
| Coefficient of variation (CV) | 0.4939259726 |
| Kurtosis | -0.46198764 |
| Mean | 11.3711987 |
| Median Absolute Deviation (MAD) | 3.820833 |
| Skewness | 0.5972068972 |
| Sum | 84215.09759 |
| Variance | 31.5454135 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.0001170396581 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10.25 | 16 | 0.2% |
| 5.283333 | 16 | 0.2% |
| 7.345833 | 16 | 0.2% |
| 6.783333 | 16 | 0.2% |
| 5.670833 | 12 | 0.2% |
| 11.204167 | 12 | 0.2% |
| 8.833333 | 12 | 0.2% |
| 9.129167 | 12 | 0.2% |
| 13.275 | 12 | 0.2% |
| 16.629167 | 12 | 0.2% |
| Other values (1600) | 7270 |
| Value | Count | Frequency (%) |
| 0.834783 | 4 | |
| 1.4625 | 4 | |
| 1.766667 | 4 | |
| 1.770833 | 4 | |
| 1.7875 | 4 | |
| 1.8125 | 4 | |
| 1.916667 | 4 | |
| 1.958333 | 4 | |
| 2.004167 | 4 | |
| 2.008333 | 4 |
| Value | Count | Frequency (%) |
| 29.409524 | 4 | |
| 28.85 | 4 | |
| 28.2125 | 4 | |
| 27.8875 | 4 | |
| 27.325 | 4 | |
| 26.9125 | 4 | |
| 26.754167 | 4 | |
| 26.508333 | 4 | |
| 26.266667 | 4 | |
| 26.05 | 4 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 10.25 | 16 | 0.2% |
| 5.283333 | 16 | 0.2% |
| 7.345833 | 16 | 0.2% |
| 6.783333 | 16 | 0.2% |
| 5.670833 | 12 | 0.2% |
| 11.204167 | 12 | 0.2% |
| 8.833333 | 12 | 0.2% |
| 9.129167 | 12 | 0.2% |
| 13.275 | 12 | 0.2% |
| 16.629167 | 12 | 0.2% |
| Other values (1600) | 7270 |
| Value | Count | Frequency (%) |
| 0.834783 | 4 | |
| 1.4625 | 4 | |
| 1.766667 | 4 | |
| 1.770833 | 4 | |
| 1.7875 | 4 | |
| 1.8125 | 4 | |
| 1.916667 | 4 | |
| 1.958333 | 4 | |
| 2.004167 | 4 | |
| 2.008333 | 4 |
| Value | Count | Frequency (%) |
| 29.409524 | 4 | |
| 28.85 | 4 | |
| 28.2125 | 4 | |
| 27.8875 | 4 | |
| 27.325 | 4 | |
| 26.9125 | 4 | |
| 26.754167 | 4 | |
| 26.508333 | 4 | |
| 26.266667 | 4 | |
| 26.05 | 4 |
ACF and PACF
| Distinct | 378 |
|---|---|
| Distinct (%) | 0.05103969754253308 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 24.410423980556306 |
|---|---|
| Minimum | 3.7 |
| Maximum | 46.4 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 3.7 |
|---|---|
| 5-th percentile | 9.6 |
| Q1 | 17.5 |
| median | 24.5 |
| Q3 | 31.2 |
| 95-th percentile | 38.6 |
| Maximum | 46.4 |
| Range | 42.7 |
| Interquartile range (IQR) | 13.7 |
Descriptive statistics
| Standard deviation | 8.97176421 |
|---|---|
| Coefficient of variation (CV) | 0.3675382376 |
| Kurtosis | -0.7361843318 |
| Mean | 24.41042398 |
| Median Absolute Deviation (MAD) | 6.8 |
| Skewness | -0.03398524538 |
| Sum | 180783.6 |
| Variance | 80.49255304 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.793613435 × 10-6 |
Quantile statistics
| Minimum | 3.7 |
|---|---|
| 5-th percentile | 9.6 |
| Q1 | 17.5 |
| median | 24.5 |
| Q3 | 31.2 |
| 95-th percentile | 38.6 |
| Maximum | 46.4 |
| Range | 42.7 |
| Interquartile range (IQR) | 13.7 |
Descriptive statistics
| Standard deviation | 8.97176421 |
|---|---|
| Coefficient of variation (CV) | 0.3675382376 |
| Kurtosis | -0.7361843318 |
| Mean | 24.41042398 |
| Median Absolute Deviation (MAD) | 6.8 |
| Skewness | -0.03398524538 |
| Sum | 180783.6 |
| Variance | 80.49255304 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.793613435 × 10-6 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 28 | 56 | 0.8% |
| 17.5 | 56 | 0.8% |
| 28.6 | 52 | 0.7% |
| 29.3 | 52 | 0.7% |
| 33 | 48 | 0.6% |
| 31 | 48 | 0.6% |
| 23.2 | 48 | 0.6% |
| 21.3 | 48 | 0.6% |
| 15.5 | 48 | 0.6% |
| 33.7 | 44 | 0.6% |
| Other values (368) | 6906 |
| Value | Count | Frequency (%) |
| 3.7 | 4 | |
| 3.8 | 4 | |
| 4.2 | 8 | |
| 4.3 | 4 | |
| 4.5 | 4 | |
| 4.6 | 8 | |
| 4.8 | 4 | |
| 4.9 | 4 | |
| 5 | 4 | |
| 5.2 | 4 |
| Value | Count | Frequency (%) |
| 46.4 | 4 | |
| 46.2 | 4 | |
| 46.1 | 4 | |
| 45.8 | 4 | |
| 45.7 | 4 | |
| 45.6 | 4 | |
| 45.5 | 4 | |
| 45.3 | 8 | |
| 45.1 | 4 | |
| 45 | 8 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 28 | 56 | 0.8% |
| 17.5 | 56 | 0.8% |
| 28.6 | 52 | 0.7% |
| 29.3 | 52 | 0.7% |
| 33 | 48 | 0.6% |
| 31 | 48 | 0.6% |
| 23.2 | 48 | 0.6% |
| 21.3 | 48 | 0.6% |
| 15.5 | 48 | 0.6% |
| 33.7 | 44 | 0.6% |
| Other values (368) | 6906 |
| Value | Count | Frequency (%) |
| 3.7 | 4 | |
| 3.8 | 4 | |
| 4.2 | 8 | |
| 4.3 | 4 | |
| 4.5 | 4 | |
| 4.6 | 8 | |
| 4.8 | 4 | |
| 4.9 | 4 | |
| 5 | 4 | |
| 5.2 | 4 |
| Value | Count | Frequency (%) |
| 46.4 | 4 | |
| 46.2 | 4 | |
| 46.1 | 4 | |
| 45.8 | 4 | |
| 45.7 | 4 | |
| 45.6 | 4 | |
| 45.5 | 4 | |
| 45.3 | 8 | |
| 45.1 | 4 | |
| 45 | 8 |
ACF and PACF
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.0032406157169862274 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 13.455036456926816 |
|---|---|
| Minimum | 0 |
| Maximum | 23 |
| Zeros | 612 |
| Zeros (%) | 0.0826357007831488 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 18 |
| Q3 | 21 |
| 95-th percentile | 23 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.055349774 |
|---|---|
| Coefficient of variation (CV) | 0.598686581 |
| Kurtosis | -1.541095125 |
| Mean | 13.45503646 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.2883018041 |
| Sum | 99648 |
| Variance | 64.88865998 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.555712396 × 10-14 |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 6 |
| median | 18 |
| Q3 | 21 |
| 95-th percentile | 23 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 15 |
Descriptive statistics
| Standard deviation | 8.055349774 |
|---|---|
| Coefficient of variation (CV) | 0.598686581 |
| Kurtosis | -1.541095125 |
| Mean | 13.45503646 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -0.2883018041 |
| Sum | 99648 |
| Variance | 64.88865998 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 1.555712396 × 10-14 |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 21 | 956 | |
| 7 | 764 | |
| 22 | 748 | |
| 20 | 716 | |
| 6 | 698 | |
| 0 | 612 | |
| 19 | 564 | |
| 23 | 540 | |
| 8 | 464 | |
| 18 | 340 | 4.6% |
| Other values (14) | 1004 |
| Value | Count | Frequency (%) |
| 0 | 612 | |
| 1 | 168 | 2.3% |
| 2 | 84 | 1.1% |
| 3 | 60 | 0.8% |
| 4 | 40 | 0.5% |
| 5 | 264 | 3.6% |
| 6 | 698 | |
| 7 | 764 | |
| 8 | 464 | |
| 9 | 200 | 2.7% |
| Value | Count | Frequency (%) |
| 23 | 540 | |
| 22 | 748 | |
| 21 | 956 | |
| 20 | 716 | |
| 19 | 564 | |
| 18 | 340 | 4.6% |
| 17 | 72 | 1.0% |
| 16 | 4 | 0.1% |
| 15 | 4 | 0.1% |
| 14 | 4 | 0.1% |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 21 | 956 | |
| 7 | 764 | |
| 22 | 748 | |
| 20 | 716 | |
| 6 | 698 | |
| 0 | 612 | |
| 19 | 564 | |
| 23 | 540 | |
| 8 | 464 | |
| 18 | 340 | 4.6% |
| Other values (14) | 1004 |
| Value | Count | Frequency (%) |
| 0 | 612 | |
| 1 | 168 | 2.3% |
| 2 | 84 | 1.1% |
| 3 | 60 | 0.8% |
| 4 | 40 | 0.5% |
| 5 | 264 | 3.6% |
| 6 | 698 | |
| 7 | 764 | |
| 8 | 464 | |
| 9 | 200 | 2.7% |
| Value | Count | Frequency (%) |
| 23 | 540 | |
| 22 | 748 | |
| 21 | 956 | |
| 20 | 716 | |
| 19 | 564 | |
| 18 | 340 | 4.6% |
| 17 | 72 | 1.0% |
| 16 | 4 | 0.1% |
| 15 | 4 | 0.1% |
| 14 | 4 | 0.1% |
ACF and PACF
| Distinct | 41 |
|---|---|
| Distinct (%) | 0.0055360518498514715 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 22.577639751552795 |
|---|---|
| Minimum | 3 |
| Maximum | 43 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 16 |
| median | 23 |
| Q3 | 29 |
| 95-th percentile | 36 |
| Maximum | 43 |
| Range | 40 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 8.502697329 |
|---|---|
| Coefficient of variation (CV) | 0.3765981485 |
| Kurtosis | -0.7068879843 |
| Mean | 22.57763975 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.04048374055 |
| Sum | 167210 |
| Variance | 72.29586187 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.849453197 × 10-6 |
Quantile statistics
| Minimum | 3 |
|---|---|
| 5-th percentile | 8 |
| Q1 | 16 |
| median | 23 |
| Q3 | 29 |
| 95-th percentile | 36 |
| Maximum | 43 |
| Range | 40 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 8.502697329 |
|---|---|
| Coefficient of variation (CV) | 0.3765981485 |
| Kurtosis | -0.7068879843 |
| Mean | 22.57763975 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | -0.04048374055 |
| Sum | 167210 |
| Variance | 72.29586187 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 7.849453197 × 10-6 |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 25 | 600 | 8.1% |
| 26 | 320 | 4.3% |
| 22 | 316 | 4.3% |
| 21 | 292 | 3.9% |
| 27 | 284 | 3.8% |
| 29 | 284 | 3.8% |
| 20 | 276 | 3.7% |
| 17 | 272 | 3.7% |
| 31 | 272 | 3.7% |
| 18 | 264 | 3.6% |
| Other values (31) | 4226 |
| Value | Count | Frequency (%) |
| 3 | 8 | 0.1% |
| 4 | 32 | 0.4% |
| 5 | 36 | 0.5% |
| 6 | 40 | 0.5% |
| 7 | 80 | 1.1% |
| 8 | 216 | |
| 9 | 120 | |
| 10 | 196 | |
| 11 | 172 | |
| 12 | 196 |
| Value | Count | Frequency (%) |
| 43 | 12 | 0.2% |
| 42 | 52 | 0.7% |
| 41 | 24 | 0.3% |
| 40 | 32 | 0.4% |
| 39 | 72 | |
| 38 | 44 | 0.6% |
| 37 | 100 | |
| 36 | 92 | |
| 35 | 156 | |
| 34 | 172 |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 25 | 600 | 8.1% |
| 26 | 320 | 4.3% |
| 22 | 316 | 4.3% |
| 21 | 292 | 3.9% |
| 27 | 284 | 3.8% |
| 29 | 284 | 3.8% |
| 20 | 276 | 3.7% |
| 17 | 272 | 3.7% |
| 31 | 272 | 3.7% |
| 18 | 264 | 3.6% |
| Other values (31) | 4226 |
| Value | Count | Frequency (%) |
| 3 | 8 | 0.1% |
| 4 | 32 | 0.4% |
| 5 | 36 | 0.5% |
| 6 | 40 | 0.5% |
| 7 | 80 | 1.1% |
| 8 | 216 | |
| 9 | 120 | |
| 10 | 196 | |
| 11 | 172 | |
| 12 | 196 |
| Value | Count | Frequency (%) |
| 43 | 12 | 0.2% |
| 42 | 52 | 0.7% |
| 41 | 24 | 0.3% |
| 40 | 32 | 0.4% |
| 39 | 72 | |
| 38 | 44 | 0.6% |
| 37 | 100 | |
| 36 | 92 | |
| 35 | 156 | |
| 34 | 172 |
ACF and PACF
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per million |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per million |
|---|---|
| 2nd row | Parts per million |
| 3rd row | Parts per million |
| 4th row | Parts per million |
| 5th row | Parts per million |
Common Values
| Value | Count | Frequency (%) |
| Parts per million | 7406 |
Length
ACF and PACF
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per million |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per million |
|---|---|
| 2nd row | Parts per million |
| 3rd row | Parts per million |
| 4th row | Parts per million |
| 5th row | Parts per million |
Common Values
| Value | Count | Frequency (%) |
| Parts per million | 7406 |
Length
Histogram of lengths of the category
Category Frequency Plot
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| million | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 841 |
|---|---|
| Distinct (%) | 0.11355657574939239 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.027341289495004053 |
|---|---|
| Minimum | 0.003125 |
| Maximum | 0.059167 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| million | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 841 |
|---|---|
| Distinct (%) | 0.11355657574939239 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.027341289495004053 |
|---|---|
| Minimum | 0.003125 |
| Maximum | 0.059167 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0.003125 |
|---|---|
| 5-th percentile | 0.011 |
| Q1 | 0.018667 |
| median | 0.027375 |
| Q3 | 0.03525 |
| 95-th percentile | 0.0445 |
| Maximum | 0.059167 |
| Range | 0.056042 |
| Interquartile range (IQR) | 0.016583 |
Descriptive statistics
| Standard deviation | 0.01050445569 |
|---|---|
| Coefficient of variation (CV) | 0.3841975228 |
| Kurtosis | -0.7360837404 |
| Mean | 0.0273412895 |
| Median Absolute Deviation (MAD) | 0.008167 |
| Skewness | 0.1270622722 |
| Sum | 202.48959 |
| Variance | 0.0001103435894 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.003658420953 |
Quantile statistics
| Minimum | 0.003125 |
|---|---|
| 5-th percentile | 0.011 |
| Q1 | 0.018667 |
| median | 0.027375 |
| Q3 | 0.03525 |
| 95-th percentile | 0.0445 |
| Maximum | 0.059167 |
| Range | 0.056042 |
| Interquartile range (IQR) | 0.016583 |
Descriptive statistics
| Standard deviation | 0.01050445569 |
|---|---|
| Coefficient of variation (CV) | 0.3841975228 |
| Kurtosis | -0.7360837404 |
| Mean | 0.0273412895 |
| Median Absolute Deviation (MAD) | 0.008167 |
| Skewness | 0.1270622722 |
| Sum | 202.48959 |
| Variance | 0.0001103435894 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.003658420953 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.020792 | 32 | 0.4% |
| 0.030917 | 32 | 0.4% |
| 0.028958 | 32 | 0.4% |
| 0.030583 | 28 | 0.4% |
| 0.035583 | 24 | 0.3% |
| 0.018667 | 24 | 0.3% |
| 0.025083 | 24 | 0.3% |
| 0.01375 | 24 | 0.3% |
| 0.028542 | 24 | 0.3% |
| 0.037625 | 24 | 0.3% |
| Other values (831) | 7138 |
| Value | Count | Frequency (%) |
| 0.003125 | 4 | |
| 0.004042 | 4 | |
| 0.004167 | 4 | |
| 0.0055 | 4 | |
| 0.006 | 4 | |
| 0.006042 | 4 | |
| 0.006083 | 8 | |
| 0.006125 | 4 | |
| 0.006375 | 4 | |
| 0.007417 | 4 |
| Value | Count | Frequency (%) |
| 0.059167 | 4 | |
| 0.058917 | 4 | |
| 0.056875 | 4 | |
| 0.056 | 4 | |
| 0.05425 | 4 | |
| 0.053333 | 4 | |
| 0.053167 | 4 | |
| 0.052958 | 4 | |
| 0.052333 | 4 | |
| 0.052125 | 4 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.020792 | 32 | 0.4% |
| 0.030917 | 32 | 0.4% |
| 0.028958 | 32 | 0.4% |
| 0.030583 | 28 | 0.4% |
| 0.035583 | 24 | 0.3% |
| 0.018667 | 24 | 0.3% |
| 0.025083 | 24 | 0.3% |
| 0.01375 | 24 | 0.3% |
| 0.028542 | 24 | 0.3% |
| 0.037625 | 24 | 0.3% |
| Other values (831) | 7138 |
| Value | Count | Frequency (%) |
| 0.003125 | 4 | |
| 0.004042 | 4 | |
| 0.004167 | 4 | |
| 0.0055 | 4 | |
| 0.006 | 4 | |
| 0.006042 | 4 | |
| 0.006083 | 8 | |
| 0.006125 | 4 | |
| 0.006375 | 4 | |
| 0.007417 | 4 |
| Value | Count | Frequency (%) |
| 0.059167 | 4 | |
| 0.058917 | 4 | |
| 0.056875 | 4 | |
| 0.056 | 4 | |
| 0.05425 | 4 | |
| 0.053333 | 4 | |
| 0.053167 | 4 | |
| 0.052958 | 4 | |
| 0.052333 | 4 | |
| 0.052125 | 4 |
ACF and PACF
| Distinct | 65 |
|---|---|
| Distinct (%) | 0.008776667566837698 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.04275668376991629 |
|---|---|
| Minimum | 0.008 |
| Maximum | 0.077 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0.008 |
|---|---|
| 5-th percentile | 0.026 |
| Q1 | 0.035 |
| median | 0.043 |
| Q3 | 0.05 |
| 95-th percentile | 0.061 |
| Maximum | 0.077 |
| Range | 0.069 |
| Interquartile range (IQR) | 0.015 |
Descriptive statistics
| Standard deviation | 0.01045428325 |
|---|---|
| Coefficient of variation (CV) | 0.2445064101 |
| Kurtosis | -0.2653198446 |
| Mean | 0.04275668377 |
| Median Absolute Deviation (MAD) | 0.007 |
| Skewness | 0.06642658712 |
| Sum | 316.656 |
| Variance | 0.0001092920384 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.0003248964579 |
Quantile statistics
| Minimum | 0.008 |
|---|---|
| 5-th percentile | 0.026 |
| Q1 | 0.035 |
| median | 0.043 |
| Q3 | 0.05 |
| 95-th percentile | 0.061 |
| Maximum | 0.077 |
| Range | 0.069 |
| Interquartile range (IQR) | 0.015 |
Descriptive statistics
| Standard deviation | 0.01045428325 |
|---|---|
| Coefficient of variation (CV) | 0.2445064101 |
| Kurtosis | -0.2653198446 |
| Mean | 0.04275668377 |
| Median Absolute Deviation (MAD) | 0.007 |
| Skewness | 0.06642658712 |
| Sum | 316.656 |
| Variance | 0.0001092920384 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.0003248964579 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.043 | 328 | 4.4% |
| 0.038 | 322 | 4.3% |
| 0.046 | 292 | 3.9% |
| 0.041 | 272 | 3.7% |
| 0.034 | 272 | 3.7% |
| 0.047 | 268 | 3.6% |
| 0.048 | 256 | 3.5% |
| 0.049 | 256 | 3.5% |
| 0.035 | 248 | 3.3% |
| 0.044 | 240 | 3.2% |
| Other values (55) | 4652 |
| Value | Count | Frequency (%) |
| 0.008 | 4 | 0.1% |
| 0.01 | 4 | 0.1% |
| 0.012 | 8 | 0.1% |
| 0.014 | 4 | 0.1% |
| 0.015 | 4 | 0.1% |
| 0.016 | 8 | 0.1% |
| 0.017 | 8 | 0.1% |
| 0.018 | 8 | 0.1% |
| 0.019 | 8 | 0.1% |
| 0.02 | 20 |
| Value | Count | Frequency (%) |
| 0.077 | 4 | 0.1% |
| 0.075 | 4 | 0.1% |
| 0.074 | 4 | 0.1% |
| 0.073 | 4 | 0.1% |
| 0.072 | 4 | 0.1% |
| 0.071 | 4 | 0.1% |
| 0.069 | 8 | 0.1% |
| 0.068 | 12 | 0.2% |
| 0.067 | 8 | 0.1% |
| 0.066 | 40 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.043 | 328 | 4.4% |
| 0.038 | 322 | 4.3% |
| 0.046 | 292 | 3.9% |
| 0.041 | 272 | 3.7% |
| 0.034 | 272 | 3.7% |
| 0.047 | 268 | 3.6% |
| 0.048 | 256 | 3.5% |
| 0.049 | 256 | 3.5% |
| 0.035 | 248 | 3.3% |
| 0.044 | 240 | 3.2% |
| Other values (55) | 4652 |
| Value | Count | Frequency (%) |
| 0.008 | 4 | 0.1% |
| 0.01 | 4 | 0.1% |
| 0.012 | 8 | 0.1% |
| 0.014 | 4 | 0.1% |
| 0.015 | 4 | 0.1% |
| 0.016 | 8 | 0.1% |
| 0.017 | 8 | 0.1% |
| 0.018 | 8 | 0.1% |
| 0.019 | 8 | 0.1% |
| 0.02 | 20 |
| Value | Count | Frequency (%) |
| 0.077 | 4 | 0.1% |
| 0.075 | 4 | 0.1% |
| 0.074 | 4 | 0.1% |
| 0.073 | 4 | 0.1% |
| 0.072 | 4 | 0.1% |
| 0.071 | 4 | 0.1% |
| 0.069 | 8 | 0.1% |
| 0.068 | 12 | 0.2% |
| 0.067 | 8 | 0.1% |
| 0.066 | 40 |
ACF and PACF
| Distinct | 21 |
|---|---|
| Distinct (%) | 0.002835538752362949 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 10.210369970294355 |
|---|---|
| Minimum | 0 |
| Maximum | 23 |
| Zeros | 68 |
| Zeros (%) | 0.009181744531460978 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 10 |
| median | 10 |
| Q3 | 11 |
| 95-th percentile | 12 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.897232911 |
|---|---|
| Coefficient of variation (CV) | 0.1858143159 |
| Kurtosis | 17.49258774 |
| Mean | 10.21036997 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.5346047694 |
| Sum | 75618 |
| Variance | 3.599492719 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.583869238 × 10-23 |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 10 |
| median | 10 |
| Q3 | 11 |
| 95-th percentile | 12 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.897232911 |
|---|---|
| Coefficient of variation (CV) | 0.1858143159 |
| Kurtosis | 17.49258774 |
| Mean | 10.21036997 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.5346047694 |
| Sum | 75618 |
| Variance | 3.599492719 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.583869238 × 10-23 |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 10 | 3080 | |
| 11 | 2010 | |
| 9 | 1396 | |
| 12 | 296 | 4.0% |
| 8 | 188 | 2.5% |
| 14 | 76 | 1.0% |
| 13 | 72 | 1.0% |
| 0 | 68 | 0.9% |
| 7 | 40 | 0.5% |
| 15 | 28 | 0.4% |
| Other values (11) | 152 | 2.1% |
| Value | Count | Frequency (%) |
| 0 | 68 | 0.9% |
| 2 | 12 | 0.2% |
| 4 | 8 | 0.1% |
| 6 | 16 | 0.2% |
| 7 | 40 | 0.5% |
| 8 | 188 | 2.5% |
| 9 | 1396 | |
| 10 | 3080 | |
| 11 | 2010 | |
| 12 | 296 | 4.0% |
| Value | Count | Frequency (%) |
| 23 | 16 | 0.2% |
| 22 | 8 | 0.1% |
| 21 | 12 | 0.2% |
| 20 | 16 | 0.2% |
| 19 | 20 | 0.3% |
| 18 | 12 | 0.2% |
| 17 | 12 | 0.2% |
| 16 | 20 | 0.3% |
| 15 | 28 | 0.4% |
| 14 | 76 |
Histogram with fixed size bins (bins=21)
| Value | Count | Frequency (%) |
| 10 | 3080 | |
| 11 | 2010 | |
| 9 | 1396 | |
| 12 | 296 | 4.0% |
| 8 | 188 | 2.5% |
| 14 | 76 | 1.0% |
| 13 | 72 | 1.0% |
| 0 | 68 | 0.9% |
| 7 | 40 | 0.5% |
| 15 | 28 | 0.4% |
| Other values (11) | 152 | 2.1% |
| Value | Count | Frequency (%) |
| 0 | 68 | 0.9% |
| 2 | 12 | 0.2% |
| 4 | 8 | 0.1% |
| 6 | 16 | 0.2% |
| 7 | 40 | 0.5% |
| 8 | 188 | 2.5% |
| 9 | 1396 | |
| 10 | 3080 | |
| 11 | 2010 | |
| 12 | 296 | 4.0% |
| Value | Count | Frequency (%) |
| 23 | 16 | 0.2% |
| 22 | 8 | 0.1% |
| 21 | 12 | 0.2% |
| 20 | 16 | 0.2% |
| 19 | 20 | 0.3% |
| 18 | 12 | 0.2% |
| 17 | 12 | 0.2% |
| 16 | 20 | 0.3% |
| 15 | 28 | 0.4% |
| 14 | 76 |
ACF and PACF
| Distinct | 58 |
|---|---|
| Distinct (%) | 0.007831487982716717 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 38.35889819065623 |
|---|---|
| Minimum | 7 |
| Maximum | 122 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 23 |
| Q1 | 31 |
| median | 37 |
| Q3 | 44 |
| 95-th percentile | 58 |
| Maximum | 122 |
| Range | 115 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 11.38619257 |
|---|---|
| Coefficient of variation (CV) | 0.2968331498 |
| Kurtosis | 4.113322058 |
| Mean | 38.35889819 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 1.269395517 |
| Sum | 284086 |
| Variance | 129.6453813 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.635888185 × 10-5 |
Quantile statistics
| Minimum | 7 |
|---|---|
| 5-th percentile | 23 |
| Q1 | 31 |
| median | 37 |
| Q3 | 44 |
| 95-th percentile | 58 |
| Maximum | 122 |
| Range | 115 |
| Interquartile range (IQR) | 13 |
Descriptive statistics
| Standard deviation | 11.38619257 |
|---|---|
| Coefficient of variation (CV) | 0.2968331498 |
| Kurtosis | 4.113322058 |
| Mean | 38.35889819 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 1.269395517 |
| Sum | 284086 |
| Variance | 129.6453813 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.635888185 × 10-5 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 488 | 6.6% |
| 36 | 428 | 5.8% |
| 42 | 332 | 4.5% |
| 32 | 300 | 4.1% |
| 44 | 292 | 3.9% |
| 40 | 292 | 3.9% |
| 39 | 280 | 3.8% |
| 35 | 274 | 3.7% |
| 37 | 260 | 3.5% |
| 47 | 252 | 3.4% |
| Other values (48) | 4208 |
| Value | Count | Frequency (%) |
| 7 | 4 | 0.1% |
| 9 | 4 | 0.1% |
| 10 | 4 | 0.1% |
| 11 | 4 | 0.1% |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 8 | |
| 17 | 16 | |
| 18 | 12 |
| Value | Count | Frequency (%) |
| 122 | 4 | 0.1% |
| 100 | 4 | 0.1% |
| 97 | 4 | 0.1% |
| 93 | 4 | 0.1% |
| 90 | 8 | 0.1% |
| 87 | 8 | 0.1% |
| 80 | 24 | 0.3% |
| 77 | 24 | 0.3% |
| 74 | 28 | 0.4% |
| 71 | 72 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 31 | 488 | 6.6% |
| 36 | 428 | 5.8% |
| 42 | 332 | 4.5% |
| 32 | 300 | 4.1% |
| 44 | 292 | 3.9% |
| 40 | 292 | 3.9% |
| 39 | 280 | 3.8% |
| 35 | 274 | 3.7% |
| 37 | 260 | 3.5% |
| 47 | 252 | 3.4% |
| Other values (48) | 4208 |
| Value | Count | Frequency (%) |
| 7 | 4 | 0.1% |
| 9 | 4 | 0.1% |
| 10 | 4 | 0.1% |
| 11 | 4 | 0.1% |
| 13 | 8 | |
| 14 | 12 | |
| 15 | 8 | |
| 16 | 8 | |
| 17 | 16 | |
| 18 | 12 |
| Value | Count | Frequency (%) |
| 122 | 4 | 0.1% |
| 100 | 4 | 0.1% |
| 97 | 4 | 0.1% |
| 93 | 4 | 0.1% |
| 90 | 8 | 0.1% |
| 87 | 8 | 0.1% |
| 80 | 24 | 0.3% |
| 77 | 24 | 0.3% |
| 74 | 28 | 0.4% |
| 71 | 72 |
ACF and PACF
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per billion |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per billion |
|---|---|
| 2nd row | Parts per billion |
| 3rd row | Parts per billion |
| 4th row | Parts per billion |
| 5th row | Parts per billion |
Common Values
| Value | Count | Frequency (%) |
| Parts per billion | 7406 |
Length
ACF and PACF
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per billion |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per billion |
|---|---|
| 2nd row | Parts per billion |
| 3rd row | Parts per billion |
| 4th row | Parts per billion |
| 5th row | Parts per billion |
Common Values
| Value | Count | Frequency (%) |
| Parts per billion | 7406 |
Length
Histogram of lengths of the category
Category Frequency Plot
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| billion | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 417 |
|---|---|
| Distinct (%) | 0.0563056980826357 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.20693120658925196 |
|---|---|
| Minimum | -0.033333 |
| Maximum | 1.35 |
| Zeros | 290 |
| Zeros (%) | 0.03915743991358358 |
| Memory size | 59376 |
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| billion | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| b | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 417 |
|---|---|
| Distinct (%) | 0.0563056980826357 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.20693120658925196 |
|---|---|
| Minimum | -0.033333 |
| Maximum | 1.35 |
| Zeros | 290 |
| Zeros (%) | 0.03915743991358358 |
| Memory size | 59376 |
Quantile statistics
| Minimum | -0.033333 |
|---|---|
| 5-th percentile | 0.008333 |
| Q1 | 0.0875 |
| median | 0.175 |
| Q3 | 0.283333 |
| 95-th percentile | 0.525 |
| Maximum | 1.35 |
| Range | 1.383333 |
| Interquartile range (IQR) | 0.195833 |
Descriptive statistics
| Standard deviation | 0.1692861335 |
|---|---|
| Coefficient of variation (CV) | 0.8180792846 |
| Kurtosis | 3.940679682 |
| Mean | 0.2069312066 |
| Median Absolute Deviation (MAD) | 0.1 |
| Skewness | 1.56813128 |
| Sum | 1532.532516 |
| Variance | 0.02865779498 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 5.343543333 × 10-14 |
Quantile statistics
| Minimum | -0.033333 |
|---|---|
| 5-th percentile | 0.008333 |
| Q1 | 0.0875 |
| median | 0.175 |
| Q3 | 0.283333 |
| 95-th percentile | 0.525 |
| Maximum | 1.35 |
| Range | 1.383333 |
| Interquartile range (IQR) | 0.195833 |
Descriptive statistics
| Standard deviation | 0.1692861335 |
|---|---|
| Coefficient of variation (CV) | 0.8180792846 |
| Kurtosis | 3.940679682 |
| Mean | 0.2069312066 |
| Median Absolute Deviation (MAD) | 0.1 |
| Skewness | 1.56813128 |
| Sum | 1532.532516 |
| Variance | 0.02865779498 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 5.343543333 × 10-14 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 290 | 3.9% |
| 0.1125 | 184 | 2.5% |
| 0.1 | 180 | 2.4% |
| 0.15 | 164 | 2.2% |
| 0.0875 | 160 | 2.2% |
| 0.075 | 158 | 2.1% |
| 0.2 | 152 | 2.1% |
| 0.025 | 148 | 2.0% |
| 0.1875 | 142 | 1.9% |
| 0.2125 | 138 | 1.9% |
| Other values (407) | 5690 |
| Value | Count | Frequency (%) |
| -0.033333 | 2 | < 0.1% |
| -0.029167 | 2 | < 0.1% |
| -0.025 | 2 | < 0.1% |
| -0.020833 | 2 | < 0.1% |
| -0.0125 | 6 | 0.1% |
| -0.008333 | 2 | < 0.1% |
| 0 | 290 | |
| 0.004167 | 28 | 0.4% |
| 0.004348 | 4 | 0.1% |
| 0.004545 | 6 | 0.1% |
| Value | Count | Frequency (%) |
| 1.35 | 2 | |
| 1.3375 | 2 | |
| 1.121739 | 2 | |
| 1.116667 | 2 | |
| 1.0875 | 4 | |
| 1.071429 | 2 | |
| 1.0625 | 2 | |
| 1.054167 | 2 | |
| 1.025 | 2 | |
| 0.979167 | 2 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 290 | 3.9% |
| 0.1125 | 184 | 2.5% |
| 0.1 | 180 | 2.4% |
| 0.15 | 164 | 2.2% |
| 0.0875 | 160 | 2.2% |
| 0.075 | 158 | 2.1% |
| 0.2 | 152 | 2.1% |
| 0.025 | 148 | 2.0% |
| 0.1875 | 142 | 1.9% |
| 0.2125 | 138 | 1.9% |
| Other values (407) | 5690 |
| Value | Count | Frequency (%) |
| -0.033333 | 2 | < 0.1% |
| -0.029167 | 2 | < 0.1% |
| -0.025 | 2 | < 0.1% |
| -0.020833 | 2 | < 0.1% |
| -0.0125 | 6 | 0.1% |
| -0.008333 | 2 | < 0.1% |
| 0 | 290 | |
| 0.004167 | 28 | 0.4% |
| 0.004348 | 4 | 0.1% |
| 0.004545 | 6 | 0.1% |
| Value | Count | Frequency (%) |
| 1.35 | 2 | |
| 1.3375 | 2 | |
| 1.121739 | 2 | |
| 1.116667 | 2 | |
| 1.0875 | 4 | |
| 1.071429 | 2 | |
| 1.0625 | 2 | |
| 1.054167 | 2 | |
| 1.025 | 2 | |
| 0.979167 | 2 |
ACF and PACF
| Distinct | 69 |
|---|---|
| Distinct (%) | 0.009316770186335404 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.7514717796381313 |
|---|---|
| Minimum | 0.0 |
| Maximum | 12.4 |
| Zeros | 298 |
| Zeros (%) | 0.04023764515257899 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.2 |
| median | 0.5 |
| Q3 | 0.9 |
| 95-th percentile | 2.4 |
| Maximum | 12.4 |
| Range | 12.4 |
| Interquartile range (IQR) | 0.7 |
Descriptive statistics
| Standard deviation | 0.9124969977 |
|---|---|
| Coefficient of variation (CV) | 1.214279794 |
| Kurtosis | 20.79444161 |
| Mean | 0.7514717796 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | 3.577330089 |
| Sum | 5565.4 |
| Variance | 0.8326507708 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.378720586 × 10-16 |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.2 |
| median | 0.5 |
| Q3 | 0.9 |
| 95-th percentile | 2.4 |
| Maximum | 12.4 |
| Range | 12.4 |
| Interquartile range (IQR) | 0.7 |
Descriptive statistics
| Standard deviation | 0.9124969977 |
|---|---|
| Coefficient of variation (CV) | 1.214279794 |
| Kurtosis | 20.79444161 |
| Mean | 0.7514717796 |
| Median Absolute Deviation (MAD) | 0.3 |
| Skewness | 3.577330089 |
| Sum | 5565.4 |
| Variance | 0.8326507708 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 2.378720586 × 10-16 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.2 | 910 | |
| 0.3 | 876 | |
| 0.4 | 780 | |
| 0.1 | 776 | |
| 0.5 | 608 | 8.2% |
| 0.6 | 470 | 6.3% |
| 0.7 | 378 | 5.1% |
| 0.9 | 314 | 4.2% |
| 0 | 298 | 4.0% |
| 0.8 | 286 | 3.9% |
| Other values (59) | 1710 |
| Value | Count | Frequency (%) |
| 0 | 298 | 4.0% |
| 0.1 | 776 | |
| 0.2 | 910 | |
| 0.3 | 876 | |
| 0.4 | 780 | |
| 0.5 | 608 | |
| 0.6 | 470 | |
| 0.7 | 378 | |
| 0.8 | 286 | 3.9% |
| 0.9 | 314 | 4.2% |
| Value | Count | Frequency (%) |
| 12.4 | 2 | |
| 9.6 | 2 | |
| 7.8 | 2 | |
| 7.7 | 2 | |
| 7.5 | 2 | |
| 7.4 | 2 | |
| 7.3 | 2 | |
| 7.2 | 2 | |
| 6.8 | 2 | |
| 6.6 | 4 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.2 | 910 | |
| 0.3 | 876 | |
| 0.4 | 780 | |
| 0.1 | 776 | |
| 0.5 | 608 | 8.2% |
| 0.6 | 470 | 6.3% |
| 0.7 | 378 | 5.1% |
| 0.9 | 314 | 4.2% |
| 0 | 298 | 4.0% |
| 0.8 | 286 | 3.9% |
| Other values (59) | 1710 |
| Value | Count | Frequency (%) |
| 0 | 298 | 4.0% |
| 0.1 | 776 | |
| 0.2 | 910 | |
| 0.3 | 876 | |
| 0.4 | 780 | |
| 0.5 | 608 | |
| 0.6 | 470 | |
| 0.7 | 378 | |
| 0.8 | 286 | 3.9% |
| 0.9 | 314 | 4.2% |
| Value | Count | Frequency (%) |
| 12.4 | 2 | |
| 9.6 | 2 | |
| 7.8 | 2 | |
| 7.7 | 2 | |
| 7.5 | 2 | |
| 7.4 | 2 | |
| 7.3 | 2 | |
| 7.2 | 2 | |
| 6.8 | 2 | |
| 6.6 | 4 |
ACF and PACF
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 10.99621928 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 288 |
| Zeros (%) | 3.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 58.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 11 |
| Q3 | 14 |
| 95-th percentile | 22 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.113443573 |
|---|---|
| Coefficient of variation (CV) | 0.5559586815 |
| Kurtosis | -0.6109820149 |
| Mean | 10.99621928 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.2607210299 |
| Sum | 81438 |
| Variance | 37.37419232 |
| Monotonicity | Not monotonic |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2 |
| Q1 | 8 |
| median | 11 |
| Q3 | 14 |
| 95-th percentile | 22 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 6 |
Descriptive statistics
| Standard deviation | 6.113443573 |
|---|---|
| Coefficient of variation (CV) | 0.5559586815 |
| Kurtosis | -0.6109820149 |
| Mean | 10.99621928 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.2607210299 |
| Sum | 81438 |
| Variance | 37.37419232 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 11 | 1396 | |
| 8 | 1294 | |
| 2 | 642 | |
| 20 | 632 | |
| 9 | 478 | 6.5% |
| 10 | 362 | 4.9% |
| 23 | 320 | 4.3% |
| 14 | 318 | 4.3% |
| 0 | 288 | 3.9% |
| 7 | 234 | 3.2% |
| Other values (14) | 1442 |
| Value | Count | Frequency (%) |
| 0 | 288 | 3.9% |
| 1 | 72 | 1.0% |
| 2 | 642 | |
| 3 | 44 | 0.6% |
| 4 | 24 | 0.3% |
| 5 | 126 | 1.7% |
| 6 | 80 | 1.1% |
| 7 | 234 | 3.2% |
| 8 | 1294 | |
| 9 | 478 | 6.5% |
| Value | Count | Frequency (%) |
| 23 | 320 | |
| 22 | 72 | 1.0% |
| 21 | 160 | 2.2% |
| 20 | 632 | |
| 19 | 190 | 2.6% |
| 18 | 148 | 2.0% |
| 17 | 224 | 3.0% |
| 16 | 38 | 0.5% |
| 15 | 52 | 0.7% |
| 14 | 318 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 3702 |
| Missing (%) | 50.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6852051836 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 2596 |
| Zeros (%) | 35.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 58.0 KiB |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 11 | 1396 | |
| 8 | 1294 | |
| 2 | 642 | |
| 20 | 632 | |
| 9 | 478 | 6.5% |
| 10 | 362 | 4.9% |
| 23 | 320 | 4.3% |
| 14 | 318 | 4.3% |
| 0 | 288 | 3.9% |
| 7 | 234 | 3.2% |
| Other values (14) | 1442 |
| Value | Count | Frequency (%) |
| 0 | 288 | 3.9% |
| 1 | 72 | 1.0% |
| 2 | 642 | |
| 3 | 44 | 0.6% |
| 4 | 24 | 0.3% |
| 5 | 126 | 1.7% |
| 6 | 80 | 1.1% |
| 7 | 234 | 3.2% |
| 8 | 1294 | |
| 9 | 478 | 6.5% |
| Value | Count | Frequency (%) |
| 23 | 320 | |
| 22 | 72 | 1.0% |
| 21 | 160 | 2.2% |
| 20 | 632 | |
| 19 | 190 | 2.6% |
| 18 | 148 | 2.0% |
| 17 | 224 | 3.0% |
| 16 | 38 | 0.5% |
| 15 | 52 | 0.7% |
| 14 | 318 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 3702 |
| Missing (%) | 50.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.6852051836 |
| Minimum | 0 |
|---|---|
| Maximum | 17 |
| Zeros | 2596 |
| Zeros (%) | 35.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 58.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.536920655 |
|---|---|
| Coefficient of variation (CV) | 2.243007922 |
| Kurtosis | 18.08592009 |
| Mean | 0.6852051836 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.614292775 |
| Sum | 2538 |
| Variance | 2.3621251 |
| Monotonicity | Not monotonic |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 17 |
| Range | 17 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.536920655 |
|---|---|
| Coefficient of variation (CV) | 2.243007922 |
| Kurtosis | 18.08592009 |
| Mean | 0.6852051836 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.614292775 |
| Sum | 2538 |
| Variance | 2.3621251 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 2596 | |
| 1 | 666 | 9.0% |
| 3 | 250 | 3.4% |
| 4 | 88 | 1.2% |
| 6 | 50 | 0.7% |
| 7 | 26 | 0.4% |
| 10 | 12 | 0.2% |
| 9 | 12 | 0.2% |
| 17 | 2 | < 0.1% |
| 13 | 2 | < 0.1% |
| (Missing) | 3702 |
| Value | Count | Frequency (%) |
| 0 | 2596 | |
| 1 | 666 | 9.0% |
| 3 | 250 | 3.4% |
| 4 | 88 | 1.2% |
| 6 | 50 | 0.7% |
| 7 | 26 | 0.4% |
| 9 | 12 | 0.2% |
| 10 | 12 | 0.2% |
| 13 | 2 | < 0.1% |
| 17 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 17 | 2 | < 0.1% |
| 13 | 2 | < 0.1% |
| 10 | 12 | 0.2% |
| 9 | 12 | 0.2% |
| 7 | 26 | 0.4% |
| 6 | 50 | 0.7% |
| 4 | 88 | 1.2% |
| 3 | 250 | 3.4% |
| 1 | 666 | 9.0% |
| 0 | 2596 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per million |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per million |
|---|---|
| 2nd row | Parts per million |
| 3rd row | Parts per million |
| 4th row | Parts per million |
| 5th row | Parts per million |
Common Values
| Value | Count | Frequency (%) |
| Parts per million | 7406 |
Length
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 2596 | |
| 1 | 666 | 9.0% |
| 3 | 250 | 3.4% |
| 4 | 88 | 1.2% |
| 6 | 50 | 0.7% |
| 7 | 26 | 0.4% |
| 10 | 12 | 0.2% |
| 9 | 12 | 0.2% |
| 17 | 2 | < 0.1% |
| 13 | 2 | < 0.1% |
| (Missing) | 3702 |
| Value | Count | Frequency (%) |
| 0 | 2596 | |
| 1 | 666 | 9.0% |
| 3 | 250 | 3.4% |
| 4 | 88 | 1.2% |
| 6 | 50 | 0.7% |
| 7 | 26 | 0.4% |
| 9 | 12 | 0.2% |
| 10 | 12 | 0.2% |
| 13 | 2 | < 0.1% |
| 17 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 17 | 2 | < 0.1% |
| 13 | 2 | < 0.1% |
| 10 | 12 | 0.2% |
| 9 | 12 | 0.2% |
| 7 | 26 | 0.4% |
| 6 | 50 | 0.7% |
| 4 | 88 | 1.2% |
| 3 | 250 | 3.4% |
| 1 | 666 | 9.0% |
| 0 | 2596 |
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 58.0 KiB |
| Parts per million |
|---|
Length
| Max length | 17 |
|---|---|
| Median length | 17 |
| Mean length | 17 |
| Min length | 17 |
Characters and Unicode
| Total characters | 125902 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Parts per million |
|---|---|
| 2nd row | Parts per million |
| 3rd row | Parts per million |
| 4th row | Parts per million |
| 5th row | Parts per million |
Common Values
| Value | Count | Frequency (%) |
| Parts per million | 7406 |
Length
Histogram of lengths of the category
Category Frequency Plot
Histogram of lengths of the category
Category Frequency Plot
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| million | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 736 |
|---|---|
| Distinct (%) | 0.09937888198757763 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.20885727855792602 |
|---|---|
| Minimum | 0.045833 |
| Maximum | 0.554792 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
| Value | Count | Frequency (%) |
| parts | 7406 | |
| per | 7406 | |
| million | 7406 |
Most occurring characters
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 103684 | |
| Space Separator | 14812 | 11.8% |
| Uppercase Letter | 7406 | 5.9% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| o | 7406 |
Space Separator
| Value | Count | Frequency (%) |
| 14812 |
Uppercase Letter
| Value | Count | Frequency (%) |
| P | 7406 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 111090 | |
| Common | 14812 | 11.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| r | 14812 | |
| i | 14812 | |
| l | 14812 | |
| P | 7406 | |
| a | 7406 | |
| t | 7406 | |
| s | 7406 | |
| p | 7406 | |
| e | 7406 | |
| m | 7406 | |
| Other values (2) | 14812 |
Common
| Value | Count | Frequency (%) |
| 14812 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 125902 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| r | 14812 | |
| 14812 | ||
| i | 14812 | |
| l | 14812 | |
| P | 7406 | 5.9% |
| a | 7406 | 5.9% |
| t | 7406 | 5.9% |
| s | 7406 | 5.9% |
| p | 7406 | 5.9% |
| e | 7406 | 5.9% |
| Other values (3) | 22218 |
| Distinct | 736 |
|---|---|
| Distinct (%) | 0.09937888198757763 |
| Missing | 0 |
| Missing (%) | 0.0 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 0.20885727855792602 |
|---|---|
| Minimum | 0.045833 |
| Maximum | 0.554792 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 0.045833 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.1375 |
| median | 0.1875 |
| Q3 | 0.270833 |
| 95-th percentile | 0.382708 |
| Maximum | 0.554792 |
| Range | 0.508959 |
| Interquartile range (IQR) | 0.133333 |
Descriptive statistics
| Standard deviation | 0.0894482032 |
|---|---|
| Coefficient of variation (CV) | 0.4282742925 |
| Kurtosis | -0.2097677262 |
| Mean | 0.2088572786 |
| Median Absolute Deviation (MAD) | 0.0625 |
| Skewness | 0.7317067169 |
| Sum | 1546.797005 |
| Variance | 0.008000981057 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.005106551243 |
Quantile statistics
| Minimum | 0.045833 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.1375 |
| median | 0.1875 |
| Q3 | 0.270833 |
| 95-th percentile | 0.382708 |
| Maximum | 0.554792 |
| Range | 0.508959 |
| Interquartile range (IQR) | 0.133333 |
Descriptive statistics
| Standard deviation | 0.0894482032 |
|---|---|
| Coefficient of variation (CV) | 0.4282742925 |
| Kurtosis | -0.2097677262 |
| Mean | 0.2088572786 |
| Median Absolute Deviation (MAD) | 0.0625 |
| Skewness | 0.7317067169 |
| Sum | 1546.797005 |
| Variance | 0.008000981057 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.005106551243 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.1 | 480 | 6.5% |
| 0.2 | 196 | 2.6% |
| 0.133333 | 152 | 2.1% |
| 0.129167 | 144 | 1.9% |
| 0.175 | 142 | 1.9% |
| 0.158333 | 138 | 1.9% |
| 0.1375 | 138 | 1.9% |
| 0.1625 | 136 | 1.8% |
| 0.108333 | 132 | 1.8% |
| 0.120833 | 130 | 1.8% |
| Other values (726) | 5618 |
| Value | Count | Frequency (%) |
| 0.045833 | 4 | 0.1% |
| 0.054167 | 8 | |
| 0.058333 | 8 | |
| 0.0625 | 8 | |
| 0.066667 | 8 | |
| 0.070833 | 18 | |
| 0.075 | 16 | |
| 0.079167 | 14 | |
| 0.083333 | 18 | |
| 0.086957 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0.554792 | 2 | |
| 0.504417 | 2 | |
| 0.504167 | 2 | |
| 0.4875 | 2 | |
| 0.479167 | 2 | |
| 0.477833 | 2 | |
| 0.475 | 2 | |
| 0.473375 | 2 | |
| 0.470875 | 2 | |
| 0.470833 | 4 |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.1 | 480 | 6.5% |
| 0.2 | 196 | 2.6% |
| 0.133333 | 152 | 2.1% |
| 0.129167 | 144 | 1.9% |
| 0.175 | 142 | 1.9% |
| 0.158333 | 138 | 1.9% |
| 0.1375 | 138 | 1.9% |
| 0.1625 | 136 | 1.8% |
| 0.108333 | 132 | 1.8% |
| 0.120833 | 130 | 1.8% |
| Other values (726) | 5618 |
| Value | Count | Frequency (%) |
| 0.045833 | 4 | 0.1% |
| 0.054167 | 8 | |
| 0.058333 | 8 | |
| 0.0625 | 8 | |
| 0.066667 | 8 | |
| 0.070833 | 18 | |
| 0.075 | 16 | |
| 0.079167 | 14 | |
| 0.083333 | 18 | |
| 0.086957 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0.554792 | 2 | |
| 0.504417 | 2 | |
| 0.504167 | 2 | |
| 0.4875 | 2 | |
| 0.479167 | 2 | |
| 0.477833 | 2 | |
| 0.475 | 2 | |
| 0.473375 | 2 | |
| 0.470875 | 2 | |
| 0.470833 | 4 |
ACF and PACF
| Distinct | 380 |
|---|---|
| Distinct (%) | 5.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3530257899 |
| Minimum | 0.1 |
|---|---|
| Maximum | 1.2 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 58.0 KiB |
Quantile statistics
| Minimum | 0.1 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.2 |
| median | 0.3 |
| Q3 | 0.4975 |
| 95-th percentile | 0.7 |
| Maximum | 1.2 |
| Range | 1.1 |
| Interquartile range (IQR) | 0.2975 |
Descriptive statistics
| Standard deviation | 0.1785232899 |
|---|---|
| Coefficient of variation (CV) | 0.5056947538 |
| Kurtosis | 0.6349354432 |
| Mean | 0.3530257899 |
| Median Absolute Deviation (MAD) | 0.1 |
| Skewness | 0.9172225371 |
| Sum | 2614.509 |
| Variance | 0.03187056503 |
| Monotonicity | Not monotonic |
Quantile statistics
| Minimum | 0.1 |
|---|---|
| 5-th percentile | 0.1 |
| Q1 | 0.2 |
| median | 0.3 |
| Q3 | 0.4975 |
| 95-th percentile | 0.7 |
| Maximum | 1.2 |
| Range | 1.1 |
| Interquartile range (IQR) | 0.2975 |
Descriptive statistics
| Standard deviation | 0.1785232899 |
|---|---|
| Coefficient of variation (CV) | 0.5056947538 |
| Kurtosis | 0.6349354432 |
| Mean | 0.3530257899 |
| Median Absolute Deviation (MAD) | 0.1 |
| Skewness | 0.9172225371 |
| Sum | 2614.509 |
| Variance | 0.03187056503 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.2 | 1818 | |
| 0.3 | 1496 | |
| 0.4 | 1025 | |
| 0.5 | 702 | 9.5% |
| 0.1 | 550 | 7.4% |
| 0.6 | 392 | 5.3% |
| 0.7 | 178 | 2.4% |
| 0.8 | 116 | 1.6% |
| 0.9 | 40 | 0.5% |
| 0.332 | 10 | 0.1% |
| Other values (370) | 1079 |
| Value | Count | Frequency (%) |
| 0.1 | 550 | |
| 0.139 | 2 | < 0.1% |
| 0.154 | 2 | < 0.1% |
| 0.16 | 2 | < 0.1% |
| 0.166 | 2 | < 0.1% |
| 0.167 | 2 | < 0.1% |
| 0.17 | 2 | < 0.1% |
| 0.171 | 4 | 0.1% |
| 0.172 | 2 | < 0.1% |
| 0.173 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 1.2 | 2 | < 0.1% |
| 1.1 | 2 | < 0.1% |
| 1.072 | 2 | < 0.1% |
| 1.028 | 2 | < 0.1% |
| 1.017 | 2 | < 0.1% |
| 1 | 8 | |
| 0.986 | 2 | < 0.1% |
| 0.965 | 2 | < 0.1% |
| 0.959 | 2 | < 0.1% |
| 0.951 | 4 |
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.113016473 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 2491 |
| Zeros (%) | 33.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 58.0 KiB |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0.2 | 1818 | |
| 0.3 | 1496 | |
| 0.4 | 1025 | |
| 0.5 | 702 | 9.5% |
| 0.1 | 550 | 7.4% |
| 0.6 | 392 | 5.3% |
| 0.7 | 178 | 2.4% |
| 0.8 | 116 | 1.6% |
| 0.9 | 40 | 0.5% |
| 0.332 | 10 | 0.1% |
| Other values (370) | 1079 |
| Value | Count | Frequency (%) |
| 0.1 | 550 | |
| 0.139 | 2 | < 0.1% |
| 0.154 | 2 | < 0.1% |
| 0.16 | 2 | < 0.1% |
| 0.166 | 2 | < 0.1% |
| 0.167 | 2 | < 0.1% |
| 0.17 | 2 | < 0.1% |
| 0.171 | 4 | 0.1% |
| 0.172 | 2 | < 0.1% |
| 0.173 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 1.2 | 2 | < 0.1% |
| 1.1 | 2 | < 0.1% |
| 1.072 | 2 | < 0.1% |
| 1.028 | 2 | < 0.1% |
| 1.017 | 2 | < 0.1% |
| 1 | 8 | |
| 0.986 | 2 | < 0.1% |
| 0.965 | 2 | < 0.1% |
| 0.959 | 2 | < 0.1% |
| 0.951 | 4 |
| Distinct | 24 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.113016473 |
| Minimum | 0 |
|---|---|
| Maximum | 23 |
| Zeros | 2491 |
| Zeros (%) | 33.6% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 58.0 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 22 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.775985863 |
|---|---|
| Coefficient of variation (CV) | 1.093205097 |
| Kurtosis | -0.4774269531 |
| Mean | 7.113016473 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.921960795 |
| Sum | 52679 |
| Variance | 60.46595614 |
| Monotonicity | Not monotonic |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 6 |
| Q3 | 9 |
| 95-th percentile | 22 |
| Maximum | 23 |
| Range | 23 |
| Interquartile range (IQR) | 9 |
Descriptive statistics
| Standard deviation | 7.775985863 |
|---|---|
| Coefficient of variation (CV) | 1.093205097 |
| Kurtosis | -0.4774269531 |
| Mean | 7.113016473 |
| Median Absolute Deviation (MAD) | 6 |
| Skewness | 0.921960795 |
| Sum | 52679 |
| Variance | 60.46595614 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 0 | 2491 | |
| 7 | 873 | 11.8% |
| 8 | 738 | 10.0% |
| 21 | 416 | 5.6% |
| 1 | 382 | 5.2% |
| 6 | 382 | 5.2% |
| 22 | 382 | 5.2% |
| 9 | 326 | 4.4% |
| 23 | 294 | 4.0% |
| 2 | 202 | 2.7% |
| Other values (14) | 920 | 12.4% |
| Value | Count | Frequency (%) |
| 0 | 2491 | |
| 1 | 382 | 5.2% |
| 2 | 202 | 2.7% |
| 3 | 128 | 1.7% |
| 4 | 70 | 0.9% |
| 5 | 140 | 1.9% |
| 6 | 382 | 5.2% |
| 7 | 873 | 11.8% |
| 8 | 738 | 10.0% |
| 9 | 326 | 4.4% |
| Value | Count | Frequency (%) |
| 23 | 294 | |
| 22 | 382 | |
| 21 | 416 | |
| 20 | 182 | |
| 19 | 106 | 1.4% |
| 18 | 54 | 0.7% |
| 17 | 22 | 0.3% |
| 16 | 4 | 0.1% |
| 15 | 6 | 0.1% |
| 14 | 6 | 0.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.002160410477990818 |
| Missing | 3703 |
| Missing (%) | 0.5 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 3.2749122333243315 |
|---|---|
| Minimum | 1.0 |
| Maximum | 9.0 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Histogram with fixed size bins (bins=24)
| Value | Count | Frequency (%) |
| 0 | 2491 | |
| 7 | 873 | 11.8% |
| 8 | 738 | 10.0% |
| 21 | 416 | 5.6% |
| 1 | 382 | 5.2% |
| 6 | 382 | 5.2% |
| 22 | 382 | 5.2% |
| 9 | 326 | 4.4% |
| 23 | 294 | 4.0% |
| 2 | 202 | 2.7% |
| Other values (14) | 920 | 12.4% |
| Value | Count | Frequency (%) |
| 0 | 2491 | |
| 1 | 382 | 5.2% |
| 2 | 202 | 2.7% |
| 3 | 128 | 1.7% |
| 4 | 70 | 0.9% |
| 5 | 140 | 1.9% |
| 6 | 382 | 5.2% |
| 7 | 873 | 11.8% |
| 8 | 738 | 10.0% |
| 9 | 326 | 4.4% |
| Value | Count | Frequency (%) |
| 23 | 294 | |
| 22 | 382 | |
| 21 | 416 | |
| 20 | 182 | |
| 19 | 106 | 1.4% |
| 18 | 54 | 0.7% |
| 17 | 22 | 0.3% |
| 16 | 4 | 0.1% |
| 15 | 6 | 0.1% |
| 14 | 6 | 0.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | 0.002160410477990818 |
| Missing | 3703 |
| Missing (%) | 0.5 |
| Infinite | 0 |
| Infinite (%) | 0.0 |
| Mean | 3.2749122333243315 |
|---|---|
| Minimum | 1.0 |
| Maximum | 9.0 |
| Zeros | 0 |
| Zeros (%) | 0.0 |
| Memory size | 59376 |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 9 |
| Range | 8 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.771993794 |
|---|---|
| Coefficient of variation (CV) | 0.5410813078 |
| Kurtosis | -0.5899090217 |
| Mean | 3.274912233 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.6954079311 |
| Sum | 12127 |
| Variance | 3.139962006 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.01398145428 |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 3 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 9 |
| Range | 8 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.771993794 |
|---|---|
| Coefficient of variation (CV) | 0.5410813078 |
| Kurtosis | -0.5899090217 |
| Mean | 3.274912233 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 0.6954079311 |
| Sum | 12127 |
| Variance | 3.139962006 |
| Monotonicity | Not monotonic |
| Augmented Dickey-Fuller test p-value | 0.01398145428 |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2 | 1224 | 16.5% |
| 3 | 880 | 11.9% |
| 5 | 617 | 8.3% |
| 1 | 428 | 5.8% |
| 6 | 392 | 5.3% |
| 7 | 132 | 1.8% |
| 8 | 20 | 0.3% |
| 9 | 10 | 0.1% |
| (Missing) | 3703 |
| Value | Count | Frequency (%) |
| 1 | 428 | 5.8% |
| 2 | 1224 | |
| 3 | 880 | |
| 5 | 617 | |
| 6 | 392 | 5.3% |
| 7 | 132 | 1.8% |
| 8 | 20 | 0.3% |
| 9 | 10 | 0.1% |
| Value | Count | Frequency (%) |
| 9 | 10 | 0.1% |
| 8 | 20 | 0.3% |
| 7 | 132 | 1.8% |
| 6 | 392 | 5.3% |
| 5 | 617 | |
| 3 | 880 | |
| 2 | 1224 | |
| 1 | 428 | 5.8% |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 2 | 1224 | 16.5% |
| 3 | 880 | 11.9% |
| 5 | 617 | 8.3% |
| 1 | 428 | 5.8% |
| 6 | 392 | 5.3% |
| 7 | 132 | 1.8% |
| 8 | 20 | 0.3% |
| 9 | 10 | 0.1% |
| (Missing) | 3703 |
| Value | Count | Frequency (%) |
| 1 | 428 | 5.8% |
| 2 | 1224 | |
| 3 | 880 | |
| 5 | 617 | |
| 6 | 392 | 5.3% |
| 7 | 132 | 1.8% |
| 8 | 20 | 0.3% |
| 9 | 10 | 0.1% |
| Value | Count | Frequency (%) |
| 9 | 10 | 0.1% |
| 8 | 20 | 0.3% |
| 7 | 132 | 1.8% |
| 6 | 392 | 5.3% |
| 5 | 617 | |
| 3 | 880 | |
| 2 | 1224 | |
| 1 | 428 | 5.8% |
ACF and PACF
ACF and PACF
Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Auto
The auto setting is an easily interpretable pairwise column metric of the following mapping: vartype-vartype : method, categorical-categorical : Cramer's V, numerical-categorical : Cramer's V (using a discretized numerical column), numerical-numerical : Spearman's ρ. This configuration uses the best suitable for each pair of columns.Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| State Code | County Code | Site Num | Address | State | County | City | Date Local | NO2 Units | NO2 Mean | NO2 1st Max Value | NO2 1st Max Hour | NO2 AQI | O3 Units | O3 Mean | O3 1st Max Value | O3 1st Max Hour | O3 AQI | SO2 Units | SO2 Mean | SO2 1st Max Value | SO2 1st Max Hour | SO2 AQI | CO Units | CO Mean | CO 1st Max Value | CO 1st Max Hour | CO AQI | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-01 | Parts per billion | 10.391667 | 18.5 | 20 | 17 | Parts per million | 0.027250 | 0.046 | 10 | 39 | Parts per billion | 0.170833 | 0.3 | 9 | 0.0 | Parts per million | 0.158333 | 0.3 | 8 | NaN |
| 1 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-01 | Parts per billion | 10.391667 | 18.5 | 20 | 17 | Parts per million | 0.027250 | 0.046 | 10 | 39 | Parts per billion | 0.170833 | 0.3 | 9 | 0.0 | Parts per million | 0.179167 | 0.3 | 0 | 3.0 |
| 2 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-01 | Parts per billion | 10.391667 | 18.5 | 20 | 17 | Parts per million | 0.027250 | 0.046 | 10 | 39 | Parts per billion | 0.137500 | 0.2 | 11 | NaN | Parts per million | 0.158333 | 0.3 | 8 | NaN |
| 3 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-01 | Parts per billion | 10.391667 | 18.5 | 20 | 17 | Parts per million | 0.027250 | 0.046 | 10 | 39 | Parts per billion | 0.137500 | 0.2 | 11 | NaN | Parts per million | 0.179167 | 0.3 | 0 | 3.0 |
| 4 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-02 | Parts per billion | 6.183333 | 12.2 | 3 | 11 | Parts per million | 0.030042 | 0.048 | 10 | 41 | Parts per billion | 0.150000 | 0.4 | 12 | 0.0 | Parts per million | 0.120833 | 0.2 | 1 | NaN |
| 5 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-02 | Parts per billion | 6.183333 | 12.2 | 3 | 11 | Parts per million | 0.030042 | 0.048 | 10 | 41 | Parts per billion | 0.150000 | 0.4 | 12 | 0.0 | Parts per million | 0.137500 | 0.2 | 1 | 2.0 |
| 6 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-02 | Parts per billion | 6.183333 | 12.2 | 3 | 11 | Parts per million | 0.030042 | 0.048 | 10 | 41 | Parts per billion | 0.100000 | 0.3 | 14 | NaN | Parts per million | 0.120833 | 0.2 | 1 | NaN |
| 7 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-02 | Parts per billion | 6.183333 | 12.2 | 3 | 11 | Parts per million | 0.030042 | 0.048 | 10 | 41 | Parts per billion | 0.100000 | 0.3 | 14 | NaN | Parts per million | 0.137500 | 0.2 | 1 | 2.0 |
| 8 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-03 | Parts per billion | 5.570833 | 11.5 | 0 | 10 | Parts per million | 0.031208 | 0.045 | 11 | 38 | Parts per billion | 0.050000 | 0.1 | 0 | 0.0 | Parts per million | 0.108333 | 0.2 | 6 | NaN |
| 9 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2010-10-03 | Parts per billion | 5.570833 | 11.5 | 0 | 10 | Parts per million | 0.031208 | 0.045 | 11 | 38 | Parts per billion | 0.050000 | 0.1 | 0 | 0.0 | Parts per million | 0.100000 | 0.1 | 0 | 1.0 |
Last rows
| State Code | County Code | Site Num | Address | State | County | City | Date Local | NO2 Units | NO2 Mean | NO2 1st Max Value | NO2 1st Max Hour | NO2 AQI | O3 Units | O3 Mean | O3 1st Max Value | O3 1st Max Hour | O3 AQI | SO2 Units | SO2 Mean | SO2 1st Max Value | SO2 1st Max Hour | SO2 AQI | CO Units | CO Mean | CO 1st Max Value | CO 1st Max Hour | CO AQI | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 7396 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-29 | Parts per billion | 1.7875 | 5.8 | 6 | 5 | Parts per million | 0.041417 | 0.045 | 10 | 42 | Parts per billion | 0.000000 | 0.0 | 0 | 0.0 | Parts per million | 0.188833 | 0.215 | 6 | NaN |
| 7397 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-29 | Parts per billion | 1.7875 | 5.8 | 6 | 5 | Parts per million | 0.041417 | 0.045 | 10 | 42 | Parts per billion | 0.000000 | 0.0 | 0 | 0.0 | Parts per million | 0.200000 | 0.200 | 0 | 2.0 |
| 7398 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-30 | Parts per billion | 2.4625 | 10.8 | 22 | 9 | Parts per million | 0.038500 | 0.046 | 9 | 43 | Parts per billion | 0.000000 | 0.0 | 2 | NaN | Parts per million | 0.204833 | 0.266 | 22 | NaN |
| 7399 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-30 | Parts per billion | 2.4625 | 10.8 | 22 | 9 | Parts per million | 0.038500 | 0.046 | 9 | 43 | Parts per billion | 0.000000 | 0.0 | 2 | NaN | Parts per million | 0.200000 | 0.200 | 0 | 2.0 |
| 7400 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-30 | Parts per billion | 2.4625 | 10.8 | 22 | 9 | Parts per million | 0.038500 | 0.046 | 9 | 43 | Parts per billion | 0.008333 | 0.1 | 21 | 0.0 | Parts per million | 0.204833 | 0.266 | 22 | NaN |
| 7401 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-30 | Parts per billion | 2.4625 | 10.8 | 22 | 9 | Parts per million | 0.038500 | 0.046 | 9 | 43 | Parts per billion | 0.008333 | 0.1 | 21 | 0.0 | Parts per million | 0.200000 | 0.200 | 0 | 2.0 |
| 7402 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-31 | Parts per billion | 9.2500 | 27.4 | 21 | 25 | Parts per million | 0.033421 | 0.050 | 11 | 46 | Parts per billion | 0.054167 | 0.2 | 7 | 0.0 | Parts per million | 0.254167 | 0.300 | 5 | 3.0 |
| 7403 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-31 | Parts per billion | 9.2500 | 27.4 | 21 | 25 | Parts per million | 0.033421 | 0.050 | 11 | 46 | Parts per billion | 0.025000 | 0.1 | 8 | NaN | Parts per million | 0.277458 | 0.492 | 22 | NaN |
| 7404 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-31 | Parts per billion | 9.2500 | 27.4 | 21 | 25 | Parts per million | 0.033421 | 0.050 | 11 | 46 | Parts per billion | 0.054167 | 0.2 | 7 | 0.0 | Parts per million | 0.277458 | 0.492 | 22 | NaN |
| 7405 | 4 | 19 | 1028 | 400 W RIVER ROAD | Arizona | Pima | Tucson | 2016-03-31 | Parts per billion | 9.2500 | 27.4 | 21 | 25 | Parts per million | 0.033421 | 0.050 | 11 | 46 | Parts per billion | 0.025000 | 0.1 | 8 | NaN | Parts per million | 0.254167 | 0.300 | 5 | 3.0 |